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基于矩阵与图的关联规则挖掘 被引量:5

Association Rules Mining Based on Graph and Matrix
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摘要 提出了一种新的算法,该算法是在基于图的关联规则挖掘的基础上进行研究,并提出改进。该算法与传统的关联规则挖掘算法Apriori算法相比,具有一定的优势,如复杂度低,无需多次扫描数据库等。 This paper brings forward a new arithmetic.This arithmetic is researched and improved that is based on a Graph-Based Approach for Discovering Various Types of Association Rules.This arithmetic has some advantage which is compared to the conventional Apriori arithmetic.For example,it has lower complicacy and doesn't scan many database,and so on.
出处 《计算机与现代化》 2005年第1期16-18,共3页 Computer and Modernization
关键词 数据挖掘 关联规则 APFIORI算法 事务 data mining association rule Apriori arithmetic transaction
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参考文献4

  • 1Show-Jane Yen, Arbee LP Chem. A graph-based approach for discovering various types of association rules[J]. IEEE Trans.Knowl. Data Eng. ,2001,13(5) :839-845.
  • 2R J Hilderman et al. Data mining in large database using domain generalization graphs[J]. Intelligent Information Systems,1999,13(3) : 195-234.
  • 3B Ozden, S Ramaswamy, A Silbetsehatz. Cyclic association rules[A].Proc. 1998 Int. Conf. Data Englneerlng(ICDE'98) [C].Orlando, FL, Feb. 1998.412-421.
  • 4Agrawal R, Imielinski T, Swami A.Mining association rules between sets of items in large database [ A ]. Proceedings of the ACM SIGMOD Conference on Management of Data[C]. Washington D C, 1993.

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